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Managerial Decision Problems Using Association Rules
(Indian Institute of Management, Ahmedabad, 2014)
This note describes the basic concepts of association rule mining and is primarily intended for participants of the postgraduate or executive management programs. The key steps in the association rule mining process and ...
Introduction to Data Analysis Using Rapidminer Data Mining Software
(Indian Institute of Management, Ahmedabad, 2013)
Linguistic features for review helpfulness prediction
(Elsevier, 2015)
Online reviews play a critical role in customer’s purchase decision making process on the web. The reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper ...
Pruning strategies for mining high utility itemsets
(Elsevier, 2015)
High utility itemset mining problem involves the use of internal and external utilities of items (such as profits, margins) to discover interesting patterns from a given transactional database. It is an extension of the ...
Efficiently mining high utility itemsets with negative unit profits
(Elsevier, 2018-04)
A High Utility Itemset (HUI) mining is an important problem in the data mining literature that considers utilities of items (such as profits and margins) to discover interesting patterns from transactional databases. Several ...
Efficient mining of high utility itemsets with multiple minimum utility thresholds
(Elsevier, 2018-01)
Mining high utility itemsets is considered to be one of the important and challenging problems in the data mining
literature. The problem offers greater flexibility to a decision maker in using item utilities such as ...
Sentiment analysis of financial news articles using performance indicators
(Springer, 2017-11-24)
Mining financial text documents and understanding the sentiments of individualinvestors, institutions and markets is an important and challenging problem in the literature.Current approaches to mine sentiments from financial ...
HMiner: efficiently mining high utility itemsets
(Elsevier, 2017-12-30)
High utility itemset mining problem uses the notion of utilities to discover interesting and actionable
patterns. Several data structures and heuristic methods have been proposed in the literature to efficiently
mine ...
Novel features for review helpfulness prediction
(Indian Institute of Management , Ahmedabad, 2014)
Online reviews play a critical role in customer's purchase decision making process on the web. The online reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This ...
An utility-based storage assignment strategy for e-commerce warehouse management
(2019 International Conference on Data Mining Workshops (ICDMW), 2019)
Order picking is one of the most labor intensive and time consuming parts of e-commerce warehouse order management. An effective solution to the item storage assignment problem can significantly improve the efficiency of ...